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A central paradigm behind process semantics based on observability and testing is that the exact moment of occurring of an internal nondeterministic choice is unobservable. It is natural, therefore, for this property to hold when the…

计算机科学中的逻辑 · 计算机科学 2009-07-10 Sonja Georgievska , Suzana Andova

Randomness is viewed through an analogy between a physical quantity, density of gas, and a mathematical construct -- probability density. Boltzmann's deduction of equilibrium distribution of ideal gas placed in an external potential field…

概率论 · 数学 2012-08-27 M. Grendar, , M. Grendar

This paper explores a new class of incomplete preferences -- termed ``connected preferences'' -- in which maximal domains of comparability are topologically connected. We provide necessary and sufficient conditions for continuous…

理论经济学 · 经济学 2026-05-01 Leandro Gorno , Alessandro Rivello

We consider the psychological effect of preference reversal and show that it finds a natural explanation in the frame of quantum decision theory. When people choose between lotteries with non-negative payoffs, they prefer a more certain…

物理与社会 · 物理学 2015-10-09 V. I. Yukalov , D. Sornette

In economics and social choice single-peakedness is one of the most important and commonly studied models for preferences. It is well known that single-peaked consistency for total orders is in P. However in practice a preference profile is…

计算机科学与博弈论 · 计算机科学 2016-06-27 Zack Fitzsimmons

We study the manipulability of social choice correspondences in situations where individuals have incomplete information about others' preferences. We propose a general concept of manipulability that depends on the extension rule used to…

理论经济学 · 经济学 2025-12-16 Raffaele Berzi , Daniela Bubboloni , Michele Gori

In this paper we provide a simple random-variable example of inconsistent information, and analyze it using three different approaches: Bayesian, quantum-like, and negative probabilities. We then show that, at least for this particular…

其他统计学 · 统计学 2013-09-27 J. Acacio de Barros

We revisit the classical problem of universal prediction of stochastic sequences with a finite time horizon $T$ known to the learner. The question we investigate is whether it is possible to derive vanishing regret bounds that hold with…

机器学习 · 计算机科学 2026-02-19 Matthias Frey , Jonathan H. Manton , Jingge Zhu

We generalize the classical probability frame by adopting a wider family of random variables that includes nondeterministic ones. The frame that emerges is known to host a ''classical'' extension of quantum mechanics. We discuss the notion…

量子物理 · 物理学 2007-05-23 E. G. Beltrametti , S. Bugajski

The concept of "stochastic precedence" between two real-valued random variables has often emerged in different applied frameworks. In this paper we consider a slightly more general, and completely natural, concept of stochastic precedence…

概率论 · 数学 2015-06-17 Emilio De Santis , Fabio Fantozzi , Fabio Spizzichino

In this paper, we study the problem of fair sequential decision making with biased linear bandit feedback. At each round, a player selects an action described by a covariate and by a sensitive attribute. The perceived reward is a linear…

统计理论 · 数学 2022-06-06 Solenne Gaucher , Alexandra Carpentier , Christophe Giraud

This paper considers the stability of online learning algorithms and its implications for learnability (bounded regret). We introduce a novel quantity called {\em forward regret} that intuitively measures how good an online learning…

机器学习 · 计算机科学 2012-11-28 Ankan Saha , Prateek Jain , Ambuj Tewari

We use the lens of weak signal asymptotics to study a class of sequentially randomized experiments, including those that arise in solving multi-armed bandit problems. In an experiment with $n$ time steps, we let the mean reward gaps between…

统计理论 · 数学 2023-06-26 Xu Kuang , Stefan Wager

In this article we demonstrate how algorithmic probability theory is applied to situations that involve uncertainty. When people are unsure of their model of reality, then the outcome they observe will cause them to update their beliefs. We…

人工智能 · 计算机科学 2014-05-26 Phil Maguire , Philippe Moser , Rebecca Maguire , Mark Keane

We study monads resulting from the combination of nondeterministic and probabilistic behaviour with the possibility of termination, which is essential in program semantics. Our main contributions are presentation results for the monads,…

计算机科学中的逻辑 · 计算机科学 2021-04-22 Matteo Mio , Ralph Sarkis , Valeria Vignudelli

Employing a generalized definition of Pratt (1964) and Arrow's (1965, 1971) probability premium, we introduce a new concept of attitude towards probability. We illustrate in a problem of risk sharing that whether attitude towards…

风险管理 · 定量金融 2021-05-04 Louis R. Eeckhoudt , Roger J. A. Laeven

We study approximation in the unit interval by rational numbers whose numerators are selected randomly with certain probabilities. Previous work showed that an analogue of Khintchine's Theorem holds in a similar random model and raised the…

数论 · 数学 2019-09-17 Laima Kaziulytė , Felipe A. Ramírez

The binary relation framework has been shown to be applicable to many real-life preference handling scenarios. Here we study preference contraction: the problem of discarding selected preferences. We argue that the property of minimality…

人工智能 · 计算机科学 2009-03-12 Denis Mindolin , Jan Chomicki

Intertemporal decision making involves choices among options whose effects occur at different moments. These choices are influenced not only by the effect of rewards value perception at different moments, but also by the time perception…

综合金融 · 定量金融 2011-05-19 Natalia Destefano , Alexandre Souto Martinez

In this paper we focus our efforts on studying how a preorder and topology can be made compatible. Thus we provide a characterization of those that are continuous-compatible. Such a characterization states that such topologies must be finer…

理论经济学 · 经济学 2024-02-06 Asier Estevan , Roberto Maura , Oscar Valero